Speech signal noise reduction by EMD

被引：4

作者：

Khaldi, Kais ^{[1
,2
]}

Boudraa, Abdel-Ouahab ^{[2
,3
]}

Bouchikhi, Abdelkhalek ^{[2
,3
]}

Alouane, Monia Turki-Hadj ^{[1
]}

Diop, Ei-Hadji Samba ^{[2
,3
]}

机构：

[1] ENIT, Unite Signaux & Syst, BP 37, Tunis 1002, Tunisia

[2] Grp ASM, IRENav, Ecole Navale, F-29240 Brest, France

[3] Grp ASM, ENSIETA, E3I3 EA3896, F-29240 Brest, France

来源：

2008 3RD INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS, CONTROL AND SIGNAL PROCESSING, VOLS 1-3 | 2008年

关键词：

D O I：

10.1109/ISCCSP.2008.4537399

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a speech signal noise reduction based on a multi-resolution approach referred to as Empirical Mode Decomposition (EMD) [1] is introduced. The proposed speech denoising method is a fully data-driven approach. Noisy signal is decomposed adaptively into oscillatory components called Intrinsic Mode Functions (IMFs), using a temporal decomposition called sifting process. The basic principle of the method is to reconstruct the signal with IMFs previously thresholded using a shrinkage function. The denoising method is applied to speech with different noise levels and the results are compared to wavelet shrinkage. The study is limited to signals corrupted by additive white Gaussian noise.

引用

页码：1155 / +

页数：3

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